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市場調查報告書
商品編碼
2007911

人工智慧食譜市場預測至2034年：全球分析（按組件、部署模式、技術類型、解決方案類型、輸入類型、企業規模、應用程式、最終用戶和地區分類）

AI-Powered Recipe Market Forecasts to 2034 - Global Analysis By Component, Deployment Mode, Technology Type, Solution Type, Input Type, Enterprise Size, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧食譜市場預計將在 2026 年達到 17 億美元，在預測期內以 21.6% 的複合年成長率成長，到 2034 年達到 84 億美元。

人工智慧驅動的食譜平台利用人工智慧演算法，根據用戶偏好、飲食限制、可用食材和營養目標，產生、個人化並最佳化食譜。這些智慧型系統運用機器學習、自然語言處理和電腦視覺技術，徹底改變了個人和企業烹飪、飲食計劃和食材選擇的方式。市場涵蓋了廣泛的解決方案，從面向消費者的應用程式和智慧廚房整合，到面向食品配送服務、酒店餐飲業和零售連鎖店的企業平台。

飲食限制和健康意識的提高

消費者越來越傾向於尋求個人化的營養指導，以應對糖尿病、食物過敏、乳糜瀉和體重管理等健康問題。傳統的食譜資訊來源往往難以滿足個體複雜的飲食需求，而人工智慧平台則透過動態篩選和調整食譜來彌補這一不足。這些系統會隨著時間的推移學習使用者的偏好，並在保持口味和營養均衡的前提下，為受限食材提案替代方案。隨著生酮飲食、純素和植物性飲食等特定飲食方式的日益普及，人們對能夠適應不斷變化的營養需求，同時又不犧牲多樣性和便捷性的智慧食譜解決方案的需求也進一步成長。

對資料隱私和演算法準確性的擔憂

使用者不願共用個人健康數據、飲食習慣和烹飪行為，是人工智慧食譜平台普及的一大障礙。這些應用通常需要存取敏感訊息，例如醫療狀況、連網設備的生物識別數據以及詳細的消費模式，才能實現真正意義上的個人化推薦。不準確的食譜推薦，例如未能檢測到隱藏的過敏原或錯誤計算營養價值，可能導致嚴重的健康問題，並削弱用戶對這項技術的信任。此外，嚴格的地區資料保護條例也給開發者帶來了合規負擔，增加了營運成本，並延緩了新參與企業的市場准入。

與智慧廚房電器和物聯網生態系統整合

智慧烤箱、冷藏庫和烹飪助理等連網廚房電器是人工智慧食譜平台的重要成長路徑。這些設備的整合能夠同步烹飪步驟和電器設置，並根據特定食譜自動調整溫度和時間。智慧冷藏庫透過管理食物庫存、提醒用戶食物即將過期以及提案使用現有食材的食譜，幫助減少食物浪費。隨著家庭物聯網生態系統的擴展，食譜平台與廚房電器之間的無縫互通性創造了極具吸引力的價值提案，將普通用戶轉變為依賴整合烹飪智慧進行日常膳食準備的忠實客戶。

免費食譜內容和現有平台的激烈競爭

社交媒體、美食部落格和影片平台上的大量高品質免費食譜內容，給付費的AI食譜解決方案帶來了巨大的競爭壓力。現有的網站和行動應用程式已經建立了龐大的用戶生成食譜庫，並配備了先進的搜尋和篩選功能，通常還提供類似的個人化功能，且無需訂閱費用。這些平台的優勢在於其長期穩定的社群互動、用戶信任以及龐大的內容量，而這些對於新進業者來說難以複製。此外，大型科技公司將解決方案整合到現有生態系統中，可能會導致AI食譜功能的商品化，從而可能降低單一供應商的利潤率。

新冠疫情的影響：

疫情大大加速了人工智慧食譜解決方案的普及。封鎖迫使消費者更頻繁地在家中烹飪，同時也要應對食品短缺和供應鏈中斷的問題。居家烹飪者轉向數位平台，尋找利用現有食材的創意方法，而人工智慧工具尤其在替代缺失食材、同時保持食譜品質方面發揮了極其重要的作用。疫情期間人們健康意識的提高也促進了對個人化營養和增強免疫力飲食的興趣。這種行為轉變持續存在，許多消費者即使在食品限制放寬後仍然繼續使用數位食譜助手，從而導致市場用戶群的永久性成長。

在預測期內，大型企業細分市場預計將是規模最大的市場。

在預測期內，「大型企業」細分市場預計將佔據最大的市場佔有率，這主要得益於其對人工智慧基礎設施的大量投資以及全公司範圍內的數位轉型 (DX) 舉措。領先的食品配送平台、連鎖飯店和零售食品公司正在大規模採用人工智慧食譜技術，以提升客戶參與、簡化營運流程，並在競爭激烈的市場中實現服務差異化。這些企業擁有必要的財力，可以進行客製化部署、與現有系統整合以及獲得持續的技術支援。大型企業能夠跨多個品牌、地區和消費者觸點有效利用人工智慧食譜解決方案，這將確保它們在整個預測期內保持市場主導地位。

在預測期內，「個人化飲食計畫」細分市場預計將實現最高的複合年成長率。

在預測期內，「個人化飲食計畫」細分市場預計將呈現最高的成長率，這主要得益於消費者對個人化營養需求的日益成長以及人工智慧技術在處理複雜飲食數據方面的進步。這些應用超越了簡單的食譜提案，整合了基因資訊、微生物組分析、即時血糖值監測和生活方式因素，從而產生高度個人化的飲食計劃。肥胖和METABOLIC INC.症候群等與飲食相關的慢性疾病日益普遍，也促使消費者和醫療保健相關人員更加關注精準營養解決方案。隨著穿戴式健康設備的普及以及用戶逐漸習慣於持續接收生物特徵數據回饋，個人化飲食規劃平台預計將大幅成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於智慧型手機的高普及率、消費者在健康和保健領域的強勁支出，以及智慧廚房技術的早期應用。該地區聚集了眾多領先的人工智慧技術公司、食品配送平台和零售創新者，它們正積極將智慧食譜融入自身的服務中。美國和加拿大的文化多樣性催生了對能夠滿足不同飲食文化和習慣的高級個人化食譜的需求。創業投資對食品科技Start-Ups的強勁投入進一步加速了創新，並確保北美在整個預測期內保持市場領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化、不斷壯大的中產階級以及全部區域深厚的飲食文化底蘊。中國、印度、日本和韓國等國家以行動優先的人工智慧應用正蓬勃發展，消費者也擴大利用科技手段進行烹飪指導和膳食管理。由於該地區存在一些特殊的飲食需求，例如乳糖不耐受和不同的宗教飲食習慣，因此對個人化食譜解決方案的需求十分旺盛。政府推行的數位健康措施以及本地外送平台的蓬勃發展，進一步加速了全部區域的市場擴張。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧食譜市場：按成分分類

  • 軟體
    • 食譜生成平台
    • 營養分析軟體
    • 膳食計劃引擎
  • 服務
    • 整合與部署
    • 諮詢
    • 支援與維護

第6章：全球人工智慧食譜市場：按部署模式分類

  • 基於雲端的
  • 現場
  • 混合

第7章：全球人工智慧食譜市場：按技術類型分類

  • 基於機器學習的系統
  • 基於自然語言處理的系統
  • 基於電腦視覺的系統
  • 生成式人工智慧模型
  • 語音人工智慧與互動式系統

第8章：全球人工智慧食譜市場：按解決方案類型分類

  • 人工智慧驅動的膳食計劃
  • 即時食譜提案
  • 食品替代品系統
  • 智慧烹飪助手
  • 個性化食譜最佳化

第9章：全球人工智慧食譜市場：按輸入類型分類

  • 基於文字的食譜產生工具
  • 基於圖像的食譜生成工具
  • 基於影片的食譜產生工具
  • 語音控制食譜系統

第10章：全球人工智慧食譜市場：按公司規模分類

  • 主要企業
  • 小型企業

第11章：全球人工智慧食譜市場：按應用領域分類

  • 個人化膳食計劃
  • 智慧廚房
  • 食品配送平台
  • 健康與保健應用程式
  • 飯店餐飲業
  • 零售和雜貨平台

第12章：全球人工智慧食譜市場：按最終用戶分類

  • 個人消費者
  • 餐廳及餐飲服務供應商
  • 食品製造商
  • 註冊營養師
  • 零售與電子商務平台
  • 內容創作者與美食部落客

第13章：全球人工智慧食譜市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第14章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第15章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第16章：公司簡介

  • IBM
  • Google
  • Microsoft
  • Amazon
  • Samsung Electronics
  • Whirlpool Corporation
  • SideChef Group
  • Innit
  • Plant Jammer
  • DishGen
  • Chef Watson
  • Yummly
  • Cookpad
  • Tasty
  • Blue Apron
Product Code: SMRC34755

According to Stratistics MRC, the Global AI-Powered Recipe Market is accounted for $1.7 billion in 2026 and is expected to reach $8.4 billion by 2034 growing at a CAGR of 21.6% during the forecast period. AI-powered recipe platforms utilize artificial intelligence algorithms to generate, personalize, and optimize recipes based on user preferences, dietary restrictions, available ingredients, and nutritional goals. These intelligent systems leverage machine learning, natural language processing, and computer vision to transform how individuals and businesses approach cooking, meal planning, and food discovery. The market encompasses solutions ranging from consumer-facing apps and smart kitchen integrations to enterprise platforms serving food delivery services, hospitality establishments, and retail grocery chains.

Market Dynamics:

Driver:

Rising prevalence of dietary restrictions and health consciousness

Consumers increasingly seek personalized nutrition guidance to manage conditions such as diabetes, food allergies, celiac disease, and weight management goals. Traditional recipe resources often fail to accommodate the complexity of individual dietary needs, creating a gap that AI-powered platforms fill by dynamically filtering and modifying recipes. These systems learn user preferences over time, suggesting alternatives for restricted ingredients while maintaining flavor profiles and nutritional balance. The growing adoption of specialized eating patterns, including keto, vegan, and plant-based diets, further amplifies demand for intelligent recipe solutions that can adapt to evolving nutritional requirements without sacrificing variety or convenience.

Restraint:

Concerns over data privacy and algorithmic accuracy

User hesitation around sharing personal health data, dietary habits, and kitchen behaviors poses a barrier to widespread adoption of AI recipe platforms. These applications often require access to sensitive information including medical conditions, biometric data from connected devices, and detailed consumption patterns to deliver meaningful personalization. Instances of inaccurate recipe recommendations such as failing to detect a hidden allergen or miscalculating nutritional values can lead to serious health consequences, eroding trust in the technology. Strict data protection regulations across regions also create compliance burdens for developers, increasing operational costs and slowing market entry for new players.

Opportunity:

Integration with smart kitchen appliances and IoT ecosystems

Connected kitchen devices, including smart ovens, refrigerators, and cooking assistants, present a significant growth avenue for AI-powered recipe platforms. When integrated, these systems can synchronize cooking instructions with appliance settings, automatically adjusting temperatures and timers based on the specific recipe. Smart refrigerators can inventory ingredients, notify users of expiring items, and suggest recipes that utilize available foods, reducing waste. As the Internet of Things ecosystem expands within households, seamless interoperability between recipe platforms and kitchen hardware creates compelling value propositions, converting casual users into engaged customers who rely on integrated culinary intelligence for daily meal preparation.

Threat:

Intense competition from free recipe content and established platforms

The abundance of free, high-quality recipe content available through social media, food blogs, and video platforms creates significant competitive pressure on paid AI-powered solutions. Established websites and mobile applications have built extensive libraries of user-generated recipes with sophisticated search and filtering capabilities, often offering similar personalization without subscription fees. These platforms benefit from years of community engagement, user trust, and content volume that new entrants find difficult to replicate. Furthermore, large technology companies are entering the space with integrated solutions bundled into existing ecosystems, potentially commoditizing AI recipe functionality and eroding margins for standalone providers.

Covid-19 Impact:

The pandemic profoundly accelerated adoption of AI-powered recipe solutions as lockdowns forced consumers to cook more frequently at home while navigating ingredient shortages and supply chain disruptions. Home cooks turned to digital platforms for creative ways to use available pantry items, with AI tools proving particularly valuable for substituting missing ingredients while maintaining recipe integrity. The surge in health awareness during the pandemic also heightened interest in personalized nutrition and immune-supporting meals. This behavioral shift has proven durable, with many consumers retaining the habit of using digital recipe assistants even after dining restrictions eased, permanently expanding the market's user base.

The Large Enterprises segment is expected to be the largest during the forecast period

The Large Enterprises segment is expected to account for the largest market share during the forecast period, driven by substantial investments in AI infrastructure and enterprise-wide digital transformation initiatives. Major food delivery platforms, hospitality chains, and retail grocery corporations deploy AI recipe technology at scale to enhance customer engagement, streamline operations, and differentiate their offerings in competitive markets. These organizations possess the capital resources necessary for custom implementations, integration with existing systems, and ongoing technical support. The ability of large enterprises to leverage AI recipe solutions across multiple brands, regions, and consumer touchpoints ensures their continued dominance throughout the forecast timeline.

The Personalized Diet Planning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Personalized Diet Planning segment is predicted to witness the highest growth rate, reflecting the convergence of consumer demand for individualized nutrition with advancements in AI's ability to process complex dietary data. These applications go beyond simple recipe suggestions, incorporating genetic information, microbiome analysis, real-time glucose monitoring, and lifestyle factors to generate hyper-personalized meal plans. The rising prevalence of chronic conditions linked to diet, such as obesity and metabolic syndrome, drives both consumer and healthcare interest in precision nutrition solutions. As wearable health devices proliferate and users become accustomed to continuous biometric feedback, personalized diet planning platforms are positioned for exceptional expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by high smartphone penetration, strong consumer spending on health and wellness, and early adoption of connected kitchen technologies. The region hosts a concentration of leading AI technology firms, food delivery platforms, and retail innovators that are actively integrating recipe intelligence into their service offerings. Cultural diversity across the United States and Canada creates demand for sophisticated recipe personalization capable of accommodating varied culinary traditions and dietary practices. Robust venture capital investment in food-tech startups further accelerates innovation, ensuring North America maintains its market leadership throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digitalization, expanding middle-class populations, and the deep cultural significance of culinary diversity across the region. Countries including China, India, Japan, and South Korea are witnessing surging adoption of mobile-first AI applications, with consumers increasingly turning to technology for cooking guidance and dietary management. The region's high prevalence of specific dietary requirements, including lactose intolerance and diverse religious dietary practices, creates strong demand for personalized recipe solutions. Government initiatives promoting digital health and the proliferation of regional food delivery platforms further accelerate market expansion throughout Asia Pacific.

Key players in the market

Some of the key players in AI-Powered Recipe Market include IBM, Google, Microsoft, Amazon, Samsung Electronics, Whirlpool Corporation, SideChef Group, Innit, Plant Jammer, DishGen, Chef Watson, Yummly, Cookpad, Tasty, and Blue Apron.

Key Developments:

In March 2026, IBM announced the expansion of its watsonx orchestration platform to include advanced agentic AI capabilities. While the original "Chef Watson" project has been absorbed into the broader IBM Watson research legacy, the new watsonx.governance and Orchestrate tools are being used by enterprise food clients to manage supply chains and "agentic" recipe development workflows.

In February 2026, At KBIS 2026, Samsung debuted the Bespoke AI 3-Door French Door Refrigerator. It's "AI Vision Inside" feature can now identify 33 different fresh food items and automatically suggest recipes via the 9-inch AI Home Display before the items expire.

In May 2025, Microsoft launched new "Kitchen Copilot" templates for developers on Azure. This enables recipe platforms (like SideChef) to use Microsoft's multimodal models to convert cooking videos into structured, shoppable step-by-step guides automatically.

Components Covered:

  • Hardware
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid

Technology Types Covered:

  • Machine Learning-Based Systems
  • Natural Language Processing-Based Systems
  • Computer Vision-Based Systems
  • Generative AI Models
  • Voice AI & Conversational Systems

Solution Types Covered:

  • AI-Based Meal Planning
  • Real-Time Recipe Suggestions
  • Ingredient Substitution Systems
  • Smart Cooking Assistants
  • Personalized Recipe Optimization

Input Types Covered:

  • Text-Based Recipe Generators
  • Image-Based Recipe Generators
  • Video-Based Recipe Generators
  • Voice-Enabled Recipe Systems

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises

Applications Covered:

  • Personalized Diet Planning
  • Smart Kitchens
  • Food Delivery Platforms
  • Health & Wellness Apps
  • Hospitality & Restaurants
  • Retail & Grocery Platforms

End Users Covered:

  • Individual Consumers
  • Restaurants & Food Service Providers
  • Food Manufacturers
  • Nutritionists & Dieticians
  • Retail & E-commerce Platforms
  • Content Creators & Food Bloggers

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI-Powered Recipe Market, By Component

  • 5.1 Software
    • 5.1.1 Recipe Generation Platforms
    • 5.1.2 Nutrition Analysis Software
    • 5.1.3 Meal Planning Engines
  • 5.2 Services
    • 5.2.1 Integration & Deployment
    • 5.2.2 Consulting
    • 5.2.3 Support & Maintenance

6 Global AI-Powered Recipe Market, By Deployment Mode

  • 6.1 Cloud-Based
  • 6.2 On-Premise
  • 6.3 Hybrid

7 Global AI-Powered Recipe Market, By Technology Type

  • 7.1 Machine Learning-Based Systems
  • 7.2 Natural Language Processing-Based Systems
  • 7.3 Computer Vision-Based Systems
  • 7.4 Generative AI Models
  • 7.5 Voice AI & Conversational Systems

8 Global AI-Powered Recipe Market, By Solution Type

  • 8.1 AI-Based Meal Planning
  • 8.2 Real-Time Recipe Suggestions
  • 8.3 Ingredient Substitution Systems
  • 8.4 Smart Cooking Assistants
  • 8.5 Personalized Recipe Optimization

9 Global AI-Powered Recipe Market, By Input Type

  • 9.1 Text-Based Recipe Generators
  • 9.2 Image-Based Recipe Generators
  • 9.3 Video-Based Recipe Generators
  • 9.4 Voice-Enabled Recipe Systems

10 Global AI-Powered Recipe Market, By Enterprise Size

  • 10.1 Large Enterprises
  • 10.2 Small & Medium Enterprises

11 Global AI-Powered Recipe Market, By Application

  • 11.1 Personalized Diet Planning
  • 11.2 Smart Kitchens
  • 11.3 Food Delivery Platforms
  • 11.4 Health & Wellness Apps
  • 11.5 Hospitality & Restaurants
  • 11.6 Retail & Grocery Platforms

12 Global AI-Powered Recipe Market, By End User

  • 12.1 Individual Consumers
  • 12.2 Restaurants & Food Service Providers
  • 12.3 Food Manufacturers
  • 12.4 Nutritionists & Dieticians
  • 12.5 Retail & E-commerce Platforms
  • 12.6 Content Creators & Food Bloggers

13 Global AI-Powered Recipe Market, By Geography

  • 13.1 North America
    • 13.1.1 United States
    • 13.1.2 Canada
    • 13.1.3 Mexico
  • 13.2 Europe
    • 13.2.1 United Kingdom
    • 13.2.2 Germany
    • 13.2.3 France
    • 13.2.4 Italy
    • 13.2.5 Spain
    • 13.2.6 Netherlands
    • 13.2.7 Belgium
    • 13.2.8 Sweden
    • 13.2.9 Switzerland
    • 13.2.10 Poland
    • 13.2.11 Rest of Europe
  • 13.3 Asia Pacific
    • 13.3.1 China
    • 13.3.2 Japan
    • 13.3.3 India
    • 13.3.4 South Korea
    • 13.3.5 Australia
    • 13.3.6 Indonesia
    • 13.3.7 Thailand
    • 13.3.8 Malaysia
    • 13.3.9 Singapore
    • 13.3.10 Vietnam
    • 13.3.11 Rest of Asia Pacific
  • 13.4 South America
    • 13.4.1 Brazil
    • 13.4.2 Argentina
    • 13.4.3 Colombia
    • 13.4.4 Chile
    • 13.4.5 Peru
    • 13.4.6 Rest of South America
  • 13.5 Rest of the World (RoW)
    • 13.5.1 Middle East
      • 13.5.1.1 Saudi Arabia
      • 13.5.1.2 United Arab Emirates
      • 13.5.1.3 Qatar
      • 13.5.1.4 Israel
      • 13.5.1.5 Rest of Middle East
    • 13.5.2 Africa
      • 13.5.2.1 South Africa
      • 13.5.2.2 Egypt
      • 13.5.2.3 Morocco
      • 13.5.2.4 Rest of Africa

14 Strategic Market Intelligence

  • 14.1 Industry Value Network and Supply Chain Assessment
  • 14.2 White-Space and Opportunity Mapping
  • 14.3 Product Evolution and Market Life Cycle Analysis
  • 14.4 Channel, Distributor, and Go-to-Market Assessment

15 Industry Developments and Strategic Initiatives

  • 15.1 Mergers and Acquisitions
  • 15.2 Partnerships, Alliances, and Joint Ventures
  • 15.3 New Product Launches and Certifications
  • 15.4 Capacity Expansion and Investments
  • 15.5 Other Strategic Initiatives

16 Company Profiles

  • 16.1 IBM
  • 16.2 Google
  • 16.3 Microsoft
  • 16.4 Amazon
  • 16.5 Samsung Electronics
  • 16.6 Whirlpool Corporation
  • 16.7 SideChef Group
  • 16.8 Innit
  • 16.9 Plant Jammer
  • 16.10 DishGen
  • 16.11 Chef Watson
  • 16.12 Yummly
  • 16.13 Cookpad
  • 16.14 Tasty
  • 16.15 Blue Apron

List of Tables

  • Table 1 Global AI-Powered Recipe Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Powered Recipe Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI-Powered Recipe Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global AI-Powered Recipe Market Outlook, By Recipe Generation Platforms (2023-2034) ($MN)
  • Table 5 Global AI-Powered Recipe Market Outlook, By Nutrition Analysis Software (2023-2034) ($MN)
  • Table 6 Global AI-Powered Recipe Market Outlook, By Meal Planning Engines (2023-2034) ($MN)
  • Table 7 Global AI-Powered Recipe Market Outlook, By Services (2023-2034) ($MN)
  • Table 8 Global AI-Powered Recipe Market Outlook, By Integration & Deployment (2023-2034) ($MN)
  • Table 9 Global AI-Powered Recipe Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 10 Global AI-Powered Recipe Market Outlook, By Support & Maintenance (2023-2034) ($MN)
  • Table 11 Global AI-Powered Recipe Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 12 Global AI-Powered Recipe Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global AI-Powered Recipe Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 14 Global AI-Powered Recipe Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 15 Global AI-Powered Recipe Market Outlook, By Technology Type (2023-2034) ($MN)
  • Table 16 Global AI-Powered Recipe Market Outlook, By Machine Learning-Based Systems (2023-2034) ($MN)
  • Table 17 Global AI-Powered Recipe Market Outlook, By Natural Language Processing-Based Systems (2023-2034) ($MN)
  • Table 18 Global AI-Powered Recipe Market Outlook, By Computer Vision-Based Systems (2023-2034) ($MN)
  • Table 19 Global AI-Powered Recipe Market Outlook, By Generative AI Models (2023-2034) ($MN)
  • Table 20 Global AI-Powered Recipe Market Outlook, By Voice AI & Conversational Systems (2023-2034) ($MN)
  • Table 21 Global AI-Powered Recipe Market Outlook, By Solution Type (2023-2034) ($MN)
  • Table 22 Global AI-Powered Recipe Market Outlook, By AI-Based Meal Planning (2023-2034) ($MN)
  • Table 23 Global AI-Powered Recipe Market Outlook, By Real-Time Recipe Suggestions (2023-2034) ($MN)
  • Table 24 Global AI-Powered Recipe Market Outlook, By Ingredient Substitution Systems (2023-2034) ($MN)
  • Table 25 Global AI-Powered Recipe Market Outlook, By Smart Cooking Assistants (2023-2034) ($MN)
  • Table 26 Global AI-Powered Recipe Market Outlook, By Personalized Recipe Optimization (2023-2034) ($MN)
  • Table 27 Global AI-Powered Recipe Market Outlook, By Input Type (2023-2034) ($MN)
  • Table 28 Global AI-Powered Recipe Market Outlook, By Text-Based Recipe Generators (2023-2034) ($MN)
  • Table 29 Global AI-Powered Recipe Market Outlook, By Image-Based Recipe Generators (2023-2034) ($MN)
  • Table 30 Global AI-Powered Recipe Market Outlook, By Video-Based Recipe Generators (2023-2034) ($MN)
  • Table 31 Global AI-Powered Recipe Market Outlook, By Voice-Enabled Recipe Systems (2023-2034) ($MN)
  • Table 32 Global AI-Powered Recipe Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 33 Global AI-Powered Recipe Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 34 Global AI-Powered Recipe Market Outlook, By Small & Medium Enterprises (2023-2034) ($MN)
  • Table 35 Global AI-Powered Recipe Market Outlook, By Application (2023-2034) ($MN)
  • Table 36 Global AI-Powered Recipe Market Outlook, By Personalized Diet Planning (2023-2034) ($MN)
  • Table 37 Global AI-Powered Recipe Market Outlook, By Smart Kitchens (2023-2034) ($MN)
  • Table 38 Global AI-Powered Recipe Market Outlook, By Food Delivery Platforms (2023-2034) ($MN)
  • Table 39 Global AI-Powered Recipe Market Outlook, By Health & Wellness Apps (2023-2034) ($MN)
  • Table 40 Global AI-Powered Recipe Market Outlook, By Hospitality & Restaurants (2023-2034) ($MN)
  • Table 41 Global AI-Powered Recipe Market Outlook, By Retail & Grocery Platforms (2023-2034) ($MN)
  • Table 42 Global AI-Powered Recipe Market Outlook, By End User (2023-2034) ($MN)
  • Table 43 Global AI-Powered Recipe Market Outlook, By Individual Consumers (2023-2034) ($MN)
  • Table 44 Global AI-Powered Recipe Market Outlook, By Restaurants & Food Service Providers (2023-2034) ($MN)
  • Table 45 Global AI-Powered Recipe Market Outlook, By Food Manufacturers (2023-2034) ($MN)
  • Table 46 Global AI-Powered Recipe Market Outlook, By Nutritionists & Dieticians (2023-2034) ($MN)
  • Table 47 Global AI-Powered Recipe Market Outlook, By Retail & E-commerce Platforms (2023-2034) ($MN)
  • Table 48 Global AI-Powered Recipe Market Outlook, By Content Creators & Food Bloggers (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.